GenDDS: Generating Diverse Driving Video Scenarios with Prompt-to-Video Generative Model
Fuente:
arXiv
Saved in:
| Main Authors: | Fu, Yongjie, Li, Yunlong, Di, Xuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving
by: Fu, Yongjie, et al.
Published: (2024)
by: Fu, Yongjie, et al.
Published: (2024)
DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
by: Zhou, Yang, et al.
Published: (2026)
by: Zhou, Yang, et al.
Published: (2026)
DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder
by: Chen, Junyu, et al.
Published: (2025)
by: Chen, Junyu, et al.
Published: (2025)
Video-As-Prompt: Unified Semantic Control for Video Generation
by: Bian, Yuxuan, et al.
Published: (2025)
by: Bian, Yuxuan, et al.
Published: (2025)
MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos
by: Wang, Rongsheng, et al.
Published: (2025)
by: Wang, Rongsheng, et al.
Published: (2025)
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey
by: Fu, Ao, et al.
Published: (2024)
by: Fu, Ao, et al.
Published: (2024)
GameGen-X: Interactive Open-world Game Video Generation
by: Che, Haoxuan, et al.
Published: (2024)
by: Che, Haoxuan, et al.
Published: (2024)
GenFusion: Closing the Loop between Reconstruction and Generation via Videos
by: Wu, Sibo, et al.
Published: (2025)
by: Wu, Sibo, et al.
Published: (2025)
PhyPrompt: RL-based Prompt Refinement for Physically Plausible Text-to-Video Generation
by: Wu, Shang, et al.
Published: (2026)
by: Wu, Shang, et al.
Published: (2026)
Controllable Pedestrian Video Editing for Multi-View Driving Scenarios via Motion Sequence
by: Fu, Danzhen, et al.
Published: (2025)
by: Fu, Danzhen, et al.
Published: (2025)
Video-Bench: Human-Aligned Video Generation Benchmark
by: Han, Hui, et al.
Published: (2025)
by: Han, Hui, et al.
Published: (2025)
Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals
by: Gillman, Nate, et al.
Published: (2025)
by: Gillman, Nate, et al.
Published: (2025)
Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation
by: Jeong, Hyeonho, et al.
Published: (2024)
by: Jeong, Hyeonho, et al.
Published: (2024)
Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers from Driving Video
by: Hasan, Md Zahid, et al.
Published: (2025)
by: Hasan, Md Zahid, et al.
Published: (2025)
SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation
by: Tan, Shanwen, et al.
Published: (2026)
by: Tan, Shanwen, et al.
Published: (2026)
V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning
by: Hua, Hang, et al.
Published: (2024)
by: Hua, Hang, et al.
Published: (2024)
LOLGORITHM: Funny Comment Generation Agent For Short Videos
by: Ouyang, Xuan, et al.
Published: (2026)
by: Ouyang, Xuan, et al.
Published: (2026)
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering
by: Yu, Ting, et al.
Published: (2024)
by: Yu, Ting, et al.
Published: (2024)
VideoPoet: A Large Language Model for Zero-Shot Video Generation
by: Kondratyuk, Dan, et al.
Published: (2023)
by: Kondratyuk, Dan, et al.
Published: (2023)
Conditional Video Generation for High-Efficiency Video Compression
by: Yi, Fangqiu, et al.
Published: (2025)
by: Yi, Fangqiu, et al.
Published: (2025)
Enhancing Long Video Generation Consistency without Tuning
by: Li, Xingyao, et al.
Published: (2024)
by: Li, Xingyao, et al.
Published: (2024)
SurGen: Text-Guided Diffusion Model for Surgical Video Generation
by: Cho, Joseph, et al.
Published: (2024)
by: Cho, Joseph, et al.
Published: (2024)
MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling
by: Zhang, Bowen, et al.
Published: (2024)
by: Zhang, Bowen, et al.
Published: (2024)
Reangle-A-Video: 4D Video Generation as Video-to-Video Translation
by: Jeong, Hyeonho, et al.
Published: (2025)
by: Jeong, Hyeonho, et al.
Published: (2025)
Video-Infinity: Distributed Long Video Generation
by: Tan, Zhenxiong, et al.
Published: (2024)
by: Tan, Zhenxiong, et al.
Published: (2024)
Yan: Foundational Interactive Video Generation
by: Ye, Deheng, et al.
Published: (2025)
by: Ye, Deheng, et al.
Published: (2025)
VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
by: Bartoccioni, Florent, et al.
Published: (2025)
by: Bartoccioni, Florent, et al.
Published: (2025)
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation
by: Feng, Weixi, et al.
Published: (2024)
by: Feng, Weixi, et al.
Published: (2024)
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation
by: Liu, Shaowei, et al.
Published: (2024)
by: Liu, Shaowei, et al.
Published: (2024)
Event-Causal RAG: A Retrieval-Augmented Generation Framework for Long Video Reasoning in Complex Scenarios
by: Yan, Peizheng, et al.
Published: (2026)
by: Yan, Peizheng, et al.
Published: (2026)
Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator
by: Qin, Luozheng, et al.
Published: (2026)
by: Qin, Luozheng, et al.
Published: (2026)
Video-T1: Test-Time Scaling for Video Generation
by: Liu, Fangfu, et al.
Published: (2025)
by: Liu, Fangfu, et al.
Published: (2025)
HOTVCOM: Generating Buzzworthy Comments for Videos
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model
by: Zuo, Qi, et al.
Published: (2024)
by: Zuo, Qi, et al.
Published: (2024)
General and Task-Oriented Video Segmentation
by: Chen, Mu, et al.
Published: (2024)
by: Chen, Mu, et al.
Published: (2024)
DepthPilot: From Controllability to Interpretability in Colonoscopy Video Generation
by: Fu, Junhu, et al.
Published: (2026)
by: Fu, Junhu, et al.
Published: (2026)
MAGI-1: Autoregressive Video Generation at Scale
by: ai, Sand., et al.
Published: (2025)
by: ai, Sand., et al.
Published: (2025)
WorldModelBench: Judging Video Generation Models As World Models
by: Li, Dacheng, et al.
Published: (2025)
by: Li, Dacheng, et al.
Published: (2025)
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
by: Qin, Can, et al.
Published: (2024)
by: Qin, Can, et al.
Published: (2024)
Retrieval, Refinement, and Ranking for Text-to-Video Generation via Prompt Optimization and Test-Time Scaling
by: Rahman, Zillur, et al.
Published: (2026)
by: Rahman, Zillur, et al.
Published: (2026)
Similar Items
-
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving
by: Fu, Yongjie, et al.
Published: (2024) -
DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
by: Zhou, Yang, et al.
Published: (2026) -
DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder
by: Chen, Junyu, et al.
Published: (2025) -
Video-As-Prompt: Unified Semantic Control for Video Generation
by: Bian, Yuxuan, et al.
Published: (2025) -
MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos
by: Wang, Rongsheng, et al.
Published: (2025)